Senior Quality Data and AI Engineer

General Motors LLC; Austin (TX); Hybrid; USD 125,000 - 169,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid vacation & holidays

GM vehicle discounts

Job summary

General Motors seeks a Senior Quality Data & AI Engineer to design and operate reliable data platforms, applying AI to data engineering while building front-end interfaces with React. You will work with Azure Databricks, Spark pipelines, and data services, delivering end-to-end solutions from ingestion to APIs.

Collaboration with product, analytics, and engineering teams is essential for scalable, secure, and observable systems.

Qualifications

• 5+ years of professional experience in data engineering, software engineering, or a closely related field.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.
• Strong proficiency in SQL, Python, PySpark and a programming language used for data engineering, such as Scala, or Java.
• Experience designing production-grade ETL/ELT pipelines and working with data warehouses, data lakes, or lakehouse platforms.
• Practical experience using AI tools and services to improve data engineering workflows, with an understanding of responsible and secure AI use.
• Hands-on experience building or maintaining front-end applications with React; familiarity with component-based UI patterns.
• Experience integrating front-end applications with REST or similar APIs and handling asynchronous data states, errors, and loading behavior.
• Understanding of data modeling, schema evolution, data quality, and distributed processing concepts.
• Strong experience with Databricks on a cloud platform, building and supporting scalable data pipelines.
• Strong communication and problem-solving skills, with the ability to work across technical and nontechnical teams.

Responsibilities

• Develop and productionize reliable batch and streaming data products in Azure Databricks, using Spark Declarative Pipelines, Delta Lake, Unity Catalog, and Bronze, Silver, and Gold patterns that quality, warranty, and AI applications can trust.
• Identify opportunities to apply AI across data workflows and deliver solutions that improve efficiency, quality, or decision-making.
• Build and maintain data services and APIs that securely expose trusted, well-documented data to applications.
• Develop responsive front-end features using React, JavaScript or TypeScript, and modern web development practices.
• Collaborate with product designers and stakeholders to translate workflows and data needs into clear, usable interfaces.
• Establish data quality checks, observability, lineage, and alerting; investigate and resolve pipeline and application issues.
• Improve performance, reliability, security, and cost efficiency across data and application systems.
• Apply engineering best practices, including code review, automated testing, CI/CD, workload identity, security, cost, observability, and production support, and gate agent releases with evaluation of task success, tool use, grounding, latency, and cost.
• Mentor engineers, provide technical guidance, and contribute to roadmaps and architectural decisions.

Skills

SQL

Python

PySpark

Scala/Java

React

AI/ML in data

Data engineering

APIs integration

Education

Bachelor’s degree in CS/Software/Data

Tools

Databricks

REST APIs

React Front-end

Kubernetes

Job description

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

The Quality & Safety Data Platform team builds the governed data products behind GM quality, warranty, dealer, and vehicle analytics. We’re seeking a Senior Quality Data & AI Engineer to design and operate reliable data platforms while helping build user-facing applications that make data accessible and actionable. Has demonstrated experience applying AI and machine-learning techniques to data engineering, such as integrating AI models or services into data pipelines and production applications. This role combines strong data engineering fundamentals with hands-on experience developing front-end applications in React. You’ll partner with product, analytics, and engineering teams to deliver end-to-end solutions—from ingestion and transformation through APIs and intuitive interfaces.

What You’ll Do

• Develop and productionize reliable batch and streaming data products in Azure Databricks, using Spark Declarative Pipelines, Delta Lake, Unity Catalog, and Bronze, Silver, and Gold patterns that quality, warranty, and AI applications can trust.
• Identify opportunities to apply AI across data workflows and deliver solutions that improve efficiency, quality, or decision-making.
• Build and maintain data services and APIs that securely expose trusted, well-documented data to applications.
• Develop responsive front-end features using React, JavaScript or TypeScript, and modern web development practices.
• Collaborate with product designers and stakeholders to translate workflows and data needs into clear, usable interfaces.
• Establish data quality checks, observability, lineage, and alerting; investigate and resolve pipeline and application issues.
• Improve performance, reliability, security, and cost efficiency across data and application systems.
• Apply engineering best practices, including code review, automated testing, CI/CD, workload identity, security, cost, observability, and production support, and gate agent releases with evaluation of task success, tool use, grounding, latency, and cost.
• Mentor engineers, provide technical guidance, and contribute to roadmaps and architectural decisions.

Your Skills & Abilities (Required Qualifications)

• 5+ years of professional experience in data engineering, software engineering, or a closely related field.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.
• Strong proficiency in SQL, Python, PySpark and a programming language used for data engineering, such as Scala, or Java.
• Experience designing production-grade ETL/ELT pipelines and working with data warehouses, data lakes, or lakehouse platforms.
• Practical experience using AI tools and services to improve data engineering workflows, with an understanding of responsible and secure AI use.
• Hands-on experience building or maintaining front-end applications with React; familiarity with component-based UI patterns.
• Experience integrating front-end applications with REST or similar APIs and handling asynchronous data states, errors, and loading behavior.
• Understanding of data modeling, schema evolution, data quality, and distributed processing concepts.
• Strong experience with Databricks on a cloud platform, building and supporting scalable data pipelines.
• Strong communication and problem-solving skills, with the ability to work across technical and nontechnical teams.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience with tools such as Apache Spark, Kafka, Airflow, or comparable technologies.
• Experience with cloud data platforms such as Snowflake, BigQuery, Redshift, or comparable services.
• Familiarity with Docker, Kubernetes, infrastructure as code, and cloud-native architectures.
• Experience with front-end testing tools, accessibility practices, and design systems.
• Experience implementing authentication, authorization, and secure handling of sensitive data.
• A track record of mentoring teammates and leading delivery across multiple systems or teams.

Compensation

The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position.

This job may be eligible for relocation benefits.

Bonus Potential

An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

GM offers a variety of health and wellbeing benefit programs.

• Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Immigration Eligibility

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.

DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.).

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.

We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Our Company

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

Explore our global locations

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (avature.net).